ML users who upgrade from versions prior to 7.4 to 7.4 or later
will have ML results indices that do not have mappings for the
total_search_time_ms field. Therefore, when searching these
indices we must tolerate this field not having a mapping.
Fixes#46437
This refactors `DataFrameAnalyticsTask` into its own class.
The task has quite a lot of functionality now and I believe it would
make code more readable to have it live as its own class rather than
an inner class of the start action class.
Backport of #46402
* [ML][Transforms] fixing rolling upgrade continuous transform test (#45823)
* [ML][Transforms] fixing rolling upgrade continuous transform test
* adjusting wait assert logic
* adjusting wait conditions
* [ML][Transforms] allow executor to call start on started task (#46347)
* making sure we only upgrade from 7.4.0 in test
* [ML] waiting for ml indices before waiting task assignment testFullClusterRestart
* waiting for a stable cluster after fullrestart
* removing unused imports
This commit initializes DocumentSubsetBitsetCache even if DLS
is disabled. Previously it would throw null pointer when querying
usage stats if we explicitly disabled DLS as there would be no instance of DocumentSubsetBitsetCache to query. It is okay to initialize
DocumentSubsetBitsetCache which will be empty as the license enforcement
would prevent usage of DLS feature and it will not fail when accessing usage stats.
Closes#45147
This PR merges the `vectors-optimize-brute-force` feature branch, which makes
the following changes to how vector functions are computed:
* Precompute the L2 norm of each vector at indexing time. (#45390)
* Switch to ByteBuffer for vector encoding. (#45936)
* Decode vectors and while computing the vector function. (#46103)
* Use an array instead of a List for the query vector. (#46155)
* Precompute the normalized query vector when using cosine similarity. (#46190)
Co-authored-by: Mayya Sharipova <mayya.sharipova@elastic.co>
As per #45852 comment we no longer need to log stack-traces in
SecurityTransportExceptionHandler and SecurityHttpExceptionHandler even
if trace logging is enabled.
(cherry picked from commit c99224a32d26db985053b7b36e2049036e438f97)
The test seems to have been failing due to a race condition between
stopping the task and refreshing the destination index. In particular,
we were going forward with refreshing the destination index even
though the task stopped in the meantime. This was fixed in
request.
Closes#43960
Backport of #46271
Previously, when the condition (1st argument) of the IIF function could
be evaluated (folded) to false, the `IfConditional` was eliminated which
caused `IndexOutOfBoundsException` to be thrown when `info()` and
`resolveType()` methods where called.
Fixes: #46268
(cherry picked from commit 9a885a3ac47bc8f52c07770d1d8d670ce0af1e59)
* [ML][Transforms] fixing stop on changes check bug
* Adding new method finishAndCheckState to cover race conditions in early terminations
* changing stopping conditions in `onStart`
* allow indexer to finish when exiting early
Fixes a problem where operations_behind would be one less than
expected per shard in a new index matched by the data frame
transform source pattern.
For example, if a data frame transform had a source of foo*
and a new index foo-new was created with 2 shards and 7 documents
indexed in it then operations_behind would be 5 prior to this
change.
The problem was that an empty index has a global checkpoint
number of -1 and the sequence number of the first document that
is indexed into an index is 0, not 1. This doesn't matter for
indices included in both the last and next checkpoints, as the
off-by-one errors cancelled, but for a new index it affected
the observed result.
Fix test issue to stabilise scoring through use of DFS search mode.
Randomised index-then-delete docs introduced by the test framework likely caused an imbalance in IDF scores across shards. Also made number of shards used in test a random number for added test coverage.
Closes#46174
Previously, if the DataType of all the WHEN conditions of a CASE
statement is NULL, then it was set to NULL even if the ELSE clause
has a non-NULL data type, e.g.:
```
CASE WHEN a = 1 THEN NULL
WHEN a = 5 THEN NULL
ELSE 'foo'
```
Fixes: #46032
(cherry picked from commit 8c1012efbbd3a300afd0dfb9b18250f15ea753f9)
Though we allow CCS within datafeeds, users could prevent nodes from accessing remote clusters. This can cause mysterious errors and difficult to troubleshoot.
This commit adds a check to verify that `cluster.remote.connect` is enabled on the current node when a datafeed is configured with a remote index pattern.
* [ML] Regression dependent variable must be numeric
This adds a validation that the dependent variable of a regression
analysis must be numeric.
* Address review comments and fix some problems
In addition to addressing the review comments, this
commit fixes a few issues I found during testing.
In particular:
- if there were mappings for required fields but they were
not included we were not reporting the error
- if explicitly included fields had unsupported types we were
not reporting the error
Unfortunately, I couldn't get those fixed without refactoring
the code in `ExtractedFieldsDetector`.
Today we might carry on a big merge uncommitted and therefore
occupy a significant amount of diskspace for quite a long time
if for instance indexing load goes down and we are not quickly
reaching the translog size threshold. This change will cause a
flush if we hit a significant merge (512MB by default) which
frees diskspace sooner.
If a CCR lease is disappeared while we are renewing it, then we will
issue asyncAddRetentionLease to add that lease. And if
asyncAddRetentionLease takes longer than retentionLeaseRenewInterval,
then we can issue another asyncAddRetentionLease request. One of
asyncAddRetentionLease requests will fail with
RetentionLeaseAlreadyExistsException, hence trip the assertion.
Closes#45192
This commit adds the `rollover_alias` setting required for ILM to work
correctly to the SLM history index template and adds assertions to the
SLM integration tests to ensure that it works correctly.
Currently, when using script_score functions like cosineSimilarity, the query
vector is treated as an array of doubles. Since the stored document vectors use
floats, it seems like the least surprising behavior for the query vectors to
also be float arrays.
In addition to improving consistency, this change may help with some
optimizations we have been considering around vector dot product.
This commit adds support for `boolean` fields in data frame
analytics (and currently both outlier detection and regression).
The analytics process expects `boolean` fields to be encoded as
integers with 0 or 1 value.
Prior to this commit the foreach action execution had a hard coded
limit to 100 iterations. This commit allows the max number of
iterations to be a configuration ('max_iterations') on the foreach
action. The default remains 100.
Adds a parameter `training_percent` to regression. The default
value is `100`. When the parameter is set to a value less than `100`,
from the rows that can be used for training (ie. those that have a
value for the dependent variable) we randomly choose whether to actually
use for training. This enables splitting the data into a training set and
the rest, usually called testing, validation or holdout set, which allows
for validating the model on data that have not been used for training.
Technically, the analytics process considers as training the data that
have a value for the dependent variable. Thus, when we decide a training
row is not going to be used for training, we simply clear the row's
dependent variable.
The existing privilege model for API keys with privileges like
`manage_api_key`, `manage_security` etc. are too permissive and
we would want finer-grained control over the cluster privileges
for API keys. Previously APIs created would also need these
privileges to get its own information.
This commit adds support for `manage_own_api_key` cluster privilege
which only allows api key cluster actions on API keys owned by the
currently authenticated user. Also adds support for retrieval of
the API key self-information when authenticating via API key
without the need for the additional API key privileges.
To support this privilege, we are introducing additional
authentication context along with the request context such that
it can be used to authorize cluster actions based on the current
user authentication.
The API key get and invalidate APIs introduce an `owner` flag
that can be set to true if the API key request (Get or Invalidate)
is for the API keys owned by the currently authenticated user only.
In that case, `realm` and `username` cannot be set as they are
assumed to be the currently authenticated ones.
The changes cover HLRC changes, documentation for the API changes.
Closes#40031
This commit introduces PKI realm delegation. This feature
supports the PKI authentication feature in Kibana.
In essence, this creates a new API endpoint which Kibana must
call to authenticate clients that use certificates in their TLS
connection to Kibana. The API call passes to Elasticsearch the client's
certificate chain. The response contains an access token to be further
used to authenticate as the client. The client's certificates are validated
by the PKI realms that have been explicitly configured to permit
certificates from the proxy (Kibana). The user calling the delegation
API must have the delegate_pki privilege.
Closes#34396
This check was introduced in #41392 but had the unwanted side-effect
that the keystore settings in such blocks would note be added in the
node's keystore. Given that we have a mid-term plan for FIPS testing
that would made such checks unnecessary, and that the conditional
in these two cases is not really that important, this change removes
this conditional logic so that full-cluster-restart and rolling
upgrade tests will run with PEM files for key/certificate material
no matter if we're in a FIPS JVM or not.
Resolves: #45475
This adds a pipeline aggregation that calculates the cumulative
cardinality of a field. It does this by iteratively merging in the
HLL sketch from consecutive buckets and emitting the cardinality up
to that point.
This is useful for things like finding the total "new" users that have
visited a website (as opposed to "repeat" visitors).
This is a Basic+ aggregation and adds a new Data Science plugin
to house it and future advanced analytics/data science aggregations.
David Roberts
Hendrik Muhs
James Rodewig
Dimitris Athanasiou
Lisa Cawley
Benjamin Trent
Ioannis Kakavas
Yogesh Gaikwad
Julie Tibshirani
Aleh Zasypkin
Albert Zaharovits
Andrey Ershov
Marios Trivyzas
Lee Hinman
Ignacio Vera
markharwood
Alexander Reelsen
Zachary Tong
Simon Willnauer
Nhat Nguyen
Przemysław Witek
Gordon Brown
Tal Levy
Mark Tozzi
Jake Landis
Armin Braun